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Player reportLigue 1 2025/26

Mamadou Coulibaly

Monaco
Half-space creator CM
40% of actions in the half-spaces
central midbox-to-box runnerprogressionbox-to-box
1746
minutes
29 apps
45
progressive passes
2.3/90
84%
pass completion
811 passes
14
key passes
0.72/90
28
box entries
1.44/90
40
final-3rd entries
2.1/90
49
dribbles
37% won
164
possessions lost
2.48 danger/90
Overview

The player

Who he is and how he compares with his peers.

01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

RECEIVE
Right Wing, Middle third — mostly in the middle third (58% of his 811 passes)
84% completion · 811× in 27/27 matches
↓
PROGRESS
drive or pass into the final third
2.3 prog/90 · 45× in 21/27 matches
↓
ARRIVE
get into the box late
14 key passes · 28× in 13/27 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.72 key passes /90 · 3 goals · 27× in 9/27 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
21

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
30
passes / match
2.2
dribbles / match
8–65
pass range (matches)
1–6
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (8 at the low end, 65 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

12

How dangerous are his carries?

Real ball-carries

185 tracked carries (9.5/90, 43 progressive, 1769m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.

4%16%15%17%5%1%8%10%2%1%6%8%6%1%
progressivelateral/short% of his 185 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 44m
By zone — where the carry started → where it ended
31Outside → Inside
85Inside → Inside
55Outside → Outside
14Inside → Outside
First (65)Second (58)Third (32)Fourth (30)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Mamadou Coulibaly's signature is the dribble. Does he carry outside (down the right wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 2.53 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 47%
OUTSIDE 53%
Dribble location — 23 inside · 26 outside
Right Wing
22 · 45%
Right Half-Space
13 · 27%
Central
6 · 12%
Left Half-Space
4 · 8%
Left Wing
4 · 8%
Vision AI 53% of his dribbles are in the wide right lane — he attacks the full-back on the outside, then threatens to cut inside onto his left foot.
04

How does he build & move the ball?

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW19457%11127%5212%243%61%1RHS17226%4435%6130%516%103%6C1525%718%2749%7421%328%12LHS972%27%716%1645%4429%28LW632%18%529%1862%39FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → the right half-space in the final third — 9 progressive passes (15% of his progression) at 0.135 xT each. He moves it inside.

His progression is inward: 82% of progressive passes move the ball toward the middle versus 3% going wider — he cuts in rather than holding width.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 34 line-breaking passes and 40 final-third entries, 2.2 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
1%5%13%15%12%5%0%4%10%8%7%1%2%6%6%4%1%
completedincomplete811 passes · any zone → any zone · own goal left, attacking →
811
passes
84%
completed
133
lost
Vision AIIn line with his 84% season completion rate.
02

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

45
progressive · 2.3/90
40
final-third entries · 2.1/90
28
box entries · 1.44/90
14
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
05

How does he create chances?

14 key passes (0.72/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.

Chance creation — key pass origin zone share
Filter:
7%7%36%29%14%7%
chance creation (14)assist (0)% of the selected group's key passes originating in each zone
16

Can he finish?

13 shots · 1.33 xG · 3 goals (+1.67 vs xG). Mostly left-footed. Circle size = xG.

shots  13
on target  9
goals  3
xG  1.33
xG on target  1.26
xG / shot  0.102
Where he shoots from — click an area of the box
08

Where does he become vulnerable?

164 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

56
attacking third (cheap)
90
middle third
18
own third (dangerous)
Vision AI 34% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.48 danger-index/90 · 0.293 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
13

What is his passing profile?

811
passes attempted
36%
mostly sideways
61%
mostly short
Direction
Forward
252 · 31%
Sideways
296 · 36%
Backward
263 · 32%
Length (completed)
Short (<15m)
414 · 61%
Medium
213 · 31%
Long (>30m)
51 · 8%
09

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

1.050.580.530.530.280.28
own goal left, attacking →
Highest-value routes (xT)
1.05
Right Half-Space Att third → Right Half-Space Att third
5 passes
0.58
Right Wing Att third → Right Half-Space Att third
2 passes
0.53
Right Half-Space Mid third → Right Wing Att third
5 passes
0.53
Left Half-Space Att third → Left Half-Space Att third
2 passes · 1 to a shot
0.28
Central Att third → Right Half-Space Att third
1 passes
0.28
Left Wing Att third → Central Att third
1 passes · 1 to a shot
10

Where Does He Receive?

The zones where Mamadou Coulibaly gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
17%
Primary
Right Wing, Middle third
16%
Secondary
Right Half-Space, Middle third
13%
Third
Central, Middle third
These are the zones where he collected the ball most.
11

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Mamadou Coulibaly actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
91845543411332847262573911713410443
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

1%5%13%15%12%5%0%4%10%8%7%1%2%6%6%4%1%
own goal left, attacking →
14

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

14Key pass
17Cross
8Cutback
45Progressive
65Long ball
39Switch
By zone — where the pass started → where it landed
106Outside → Inside
322Inside → Inside
151Outside → Outside
99Inside → Outside
By direction
252Forward
263Backward
296Sideways
own goal left, attacking →
03

Tactical patterns — how his football actually looks

Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.

own goal left, attacking →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right hs in the final third — 5 passes worth 1.05 xT.
Where do his chances come from?
Of 14 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 3 times. The receiver isn't identifiable in this data, only where the pass started and ended.
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the right half-space in the final third: 29% of his 66 touches there are lost (19 times).
17%5/29 lost10%2/20 lost8%2/24 lost24%5/21 lost18%2/11 lost19%24/128 lost18%23/130 lost9%10/108 lost7%5/67 lost20%8/41 lost16%13/79 lost29%19/66 lost16%6/38 lost14%3/22 lost22%6/27 lostRWRHSCLHSLWDEFMIDATT
06

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 185 ball-carries, his dominant tendency is that he carries through central areas (46%). He carries from outside into the middle 31 times and out toward the touchline 14 — a genuine inside forward who cuts in with the ball.
07

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
1 · 1%
Progressive / key pass
25 · 14%
Simple pass
119 · 64%
No clean link
40 · 22%
Of 185 carries, 1% flow straight into a shot of his own, 14% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 22% have no clean link to a next touch of his own close to where the carry ended.
15

Crosses & Cutbacks

17 crosses (0.88/90, 10 completed) and 8 cutbacks (0.41/90, 5 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

17

How & where does he defend?

295 defensive actions across the season (15.2/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.

click a card to isolate that action type · own goal left, attacking →
43
tackles · 56% won
23
interceptions · 1.2/90
106
recoveries · 5.5/90
21
clearances · 1.1/90
30
blocks
43
avg action height
42
won high (att 3rd)
152
middle third
101
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 172 proactive ball-wins (8.9/90), tackle success 56%. He defends high, stepping out to intercept — suits a high line.
18

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Mamadou Coulibaly keep producing when the game is tight and the press is high? Tiers of ~9-11 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.2, 9m)
0.68
1.7
0.70
29%
Mid press (PPDA 5.7, 9m)
0.76
2.0
1.08
58%
Low press (PPDA 9.5, 11m)
1.00
3.1
0.42
31%
Team

Team context

How much of the team runs through him, and what changes without him.

19

Impact on the Team

Monaco's output per match with Mamadou Coulibaly (4 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (4)
WITHOUT (4)
Δ
goals for /match
1.50
1.25
+0.25
xG for /match
1.24
0.94
+0.30
goals against /match
0.50
1.25
-0.75
points /match
2.50
1.25
+1.25
20

His Share of the Team

Of everything Monaco produced this season, the categories where the biggest share ran through Mamadou Coulibaly specifically — his share of the team total, not a per-90 rate.

category
share
him / team
zone-14 entries
6%
25 / 445
box entries
5%
37 / 697
tackles
5%
43 / 856
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

22

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 382 central mids in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.

Box-to-box runner65%Deep-lying playmaker60%Tempo controller59%Transition runner58%
Why Box-to-box runner 65%: a weighted blend of ball-winning 83 (weight 20%) + transition 52 (weight 30%) + progression 59 (weight 25%) + defensive aggression 79 (weight 10%) + box threat 33 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls
Strong
ball-winning, receiving zones, line-breaking, defensive aggression, crossing
Average
carrying, territory (wide vs central), dribbling, progression, build-up, creativity, retention, press resistance, transition, final-third threat
Weak
box threat, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
89
Ball-winning
83
Receiving zones
81
Line-breaking
80
Defensive aggression
79
Crossing
71
Carrying
61
Territory (wide vs central)
61
Dribbling
61
Progression
59
Build-up
59
Creativity
58
Retention
57
Press resistance ~proxy
55
Transition ~proxy
52
Final-third threat
50
Box threat
33
Passing directness
17
23

Similar Players — in style space

Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 180 cm / 75 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style. Scope: pooled across the Ligue 1, Bundesliga, La Liga, Premier League and Serie A, percentiled within each player's own league before comparing — a match from another league is marked with its league name.

Style, not quality: a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.

Cameron Puertas Werder Bremen · Bundesliga 25/26 · 178 cm / 74 kg
67%
Driven by: ball-winning (39%), passing directness (16%), defensive aggression (14%). Different mechanism — Coulibaly more via through-balls, line-breaking; Puertas more via box threat.
Petar Sucic Inter · Serie A · 183 cm / 68 kg
66%
Driven by: through-balls (16%), receiving zones (15%), crossing (14%). Different mechanism — Coulibaly more via ball-winning, territory (wide vs central); Sucic more via final-third threat, box threat.
Alexander Prass Hoffenheim · Bundesliga · 182 cm / 72 kg
66%
Driven by: crossing (19%), defensive aggression (18%), receiving zones (13%). Different mechanism — Coulibaly more via build-up, through-balls; Prass more via box threat.
Kévin Danois Auxerre · 183 cm / 72 kg
66%
Driven by: ball-winning (29%), receiving zones (11%), defensive aggression (11%). Different mechanism — Coulibaly more via territory (wide vs central), through-balls; Danois more via passing directness, final-third threat.
Diego Moreira AC Milan · Serie A · 179 cm / 73 kg
62%
Driven by: through-balls (19%), ball-winning (17%), passing directness (15%). Different mechanism — Coulibaly more via receiving zones, defensive aggression; Moreira more via box threat, carrying.
Wesley Roma · Serie A · 175 cm / 73 kg
62%
Driven by: ball-winning (18%), crossing (17%), through-balls (15%). Different mechanism — Coulibaly more via dribbling, retention; Wesley more via territory (wide vs central), progression.
24

Summary

Mamadou Coulibaly is a box-to-box runner / deep-lying playmaker: 2.3 progressive passes, 0.72 key passes /90, 28 box entries, 3 goals from 1.33 xG. A box-to-box contributor across every phase.

Based on 29 matches (1746 minutes) this season — a reliable read. He profiles as a box-to-box runner / deep-lying playmaker — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall box-to-box runner profile.
✨ This report is interactive

Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.

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